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From "Matthias J. Sax" <mj...@informatik.hu-berlin.de>
Subject Re: Storm Compatibility Improvement
Date Mon, 29 Jun 2015 21:48:03 GMT
Well. If a whole Storm topology is executed, this is of course the way
to got. However, I want to have named-attribute access in the case of an
embedded bolt (as a single operator) in a Flink program. And is this
case, fields are not declared and do not have a name (eg, if the bolt's
consumers emits a stream of type Tuple3)

-Matthias


On 06/29/2015 11:42 PM, Gyula Fóra wrote:
> Hey,
> I didn't look through the whole code so I probably don't get something but
> why don't you just do what storm does? Keep a map from the field names to
> indexes somewhere (make this accessible from the tuple) and then you can
> just use a simple Flink tuple.
> 
> I think this is what's happening in storm, they get the index from the
> context, which knows the declared output fields.
> 
> Gyula
> 
> Matthias J. Sax <mjsax@informatik.hu-berlin.de> ezt írta (időpont: 2015.
> jún. 29., H, 18:08):
> 
>> Hi,
>>
>> I started to work on a missing feature for the Storm compatibility
>> layer: named attribute access
>>
>> In Storm, each attribute of an input tuple can be accessed via index or
>> by name. Currently, only index access is supported. In order to support
>> this feature in Flink (embedded Bolt in Flink program), I see two
>> (independent and complementary) ways to support this feature:
>>
>>  1) the input type is a POJO
>>  2) Flink's Tuple type is extended to support named attributes
>>
>> Right now I started a prototype for POJOs. I would like to extend Tuple
>> type with named attributes. However, I am not sure how the community
>> likes this idea.
>>
>> I would like to get some feedback for the POJO prototype, too. I use
>> reflections and I am not sure if my code is elegant enough. You can find
>> it here: https://github.com/mjsax/flink/tree/flink-storm-compatibility
>>
>>
>> -Matthias
>>
>>
>>
>>
>>
> 


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